Machine learning integrated with biology at scale lies at the core of insitro’s approach to rethinking drug discovery and development. In this role you will contribute to the core biology platform that insitro is building by working as a key member of the team working on many aspects of iPSC technology such as iPSC QC, banking and media preparation. A successful candidate will play a role on cross-functional teams that encompass research biology, engineering and data science disciplines to design experiments, develop novel iPSC models at scale, and develop large, innovative disease relevant-biological datasets using cutting edge, high-throughput automation platforms. You will possess strong interpersonal skills, a strong collaborative work ethic, ability to adapt to changing needs, and the capacity to multitask to meet key goals. Strong communication and presentation skills are essential to success in this position.
Nice to Have
Benefits at insitro
insitro is a drug discovery and development company using machine learning and data generation at scale to transform the way that drugs are discovered and delivered to patients. We rely on human genetic cohorts, human-derived cellular disease models, and high-throughput biology and chemistry to identify coherent patient segments, actionable therapeutic targets, and new or existing chemical matter. The goal is to deliver predictive insights to improve the probability of success and reduce the number of costly dead ends along the R&D journey. The company has established enabling collaborations with Gilead in NASH and Bristol Myers Squibb in ALS and is building a pipeline of wholly owned and partnered medicines leveraging its unique insights on patient biomarkers, targets, and molecules. insitro is located in South San Francisco, CA and has raised over $600M from top tech, biotech, and crossover investors since formation in 2018. For more information on insitro, please visit the company’s website at www.insitro.com.
Your application was submitted successfully.